System design using the internet of things with deep learning applications / edited by Arpan Deyasi, Angsuman Sarkar, Soumen Santra.

Other author Deyasi, Arpan, 1978-
Other author Sarkar, Angsuman.
Other author Santra, Soumen.
Format Electronic
EditionFirst edition.
Publication InfoPalm Bay, FL : Apple Academic Press, 2024.
Descriptionxviii, 263 pages : illustrations ; 24 cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Contents Applications of the Internet of Things and big data in automated healthcare / S. Benila and N. Usha Bhanu -- IoT in the construction industry / Jenifar Begam and Sweta Sarkar -- Object detection from video sequence and its analysis for application in wildlife / Shruti Shovan Das and Soumyajit Pal -- Design of a flow detection sensor for single phase flow through porous media / Talha Khan and Anustup Chatterjee -- Deep neural network-based brain tumor segmentation / Sayan Chatterjee, Moitri Chakraborty, Akash Maity, and Mainak Biswas -- Voice command-based real-time automated home security system with Google assistance technology / Soumen Santra, Partha Mukherjee, Arpan Deyasi, and Angsuman Sarkar -- Applications of IoT and UAV in smart agriculture / Caprio Mistry and Arighna Basak -- A study on data security in cloud computing : traditional cryptography to the quantum age cryptography / Srinidhi Kulkarni, Rishabh Kumar Tripathi, and Meera Joshi -- Role of hospitality institutions in development of employability expertises : students' perception based on data analysis / Santanu Dasgupta -- Application of IoT and big data in automated healthcare / A. Krishnaraju, K. Sreenivasan, P. Marisami, B. Prakash, and S. Srinivasan -- Forecasting the impact of COVID-19 : data analysis / Shalini Adhya, Sanghita Kundu, and Mainak Biswas -- Comparative analysis of SVM and KNN in breast cancer classification / Soumyajit Pa.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2023027473
ISBN9781774912584 (hardcover)
ISBN9781774912607 (paperback)
ISBN(ebook)

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available